This fully funded PhD position at KTH Royal Institute of Technology is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest research initiative in artificial intelligence and autonomous systems. The successful candidate will join the new research group led by Assistant Professor Martin Trapp, with co-supervision by Professor Henrik Boström, to focus on the reliability and trustworthiness of machine learning models. The project involves working with open-source, large-scale machine learning models, developing new theoretical and methodological approaches to enhance their reliability, and contributing to open-source libraries. The research aims to publish in top-tier machine learning conferences such as NeurIPS, ICML, ICLR, UAI, and AISTATS. The WASP program offers a dynamic, international research environment with opportunities for collaboration with industry and leading universities worldwide. The graduate school provides a comprehensive training program, including research visits, partner university collaborations, and lectures from visiting scholars, fostering a strong interdisciplinary and international network. The position is based in Stockholm and comes with a monthly salary according to KTH’s doctoral student salary agreement. Applicants must have a master’s degree or equivalent, strong mathematical and programming skills, a background in machine learning, statistics, linear algebra, and optimization, and some research experience evidenced by peer-reviewed publications. Proficiency in English (equivalent to English B/6) is required. The position is full-time, initially for one year with possible extensions, and is open to candidates who are goal-oriented, independent, and collaborative. Applications must be submitted through KTH’s recruitment system by December 19, 2025, and should include certified academic transcripts, proof of language proficiency, a CV, a research statement, an application letter, and a list of publications. The position offers excellent working conditions, employee benefits, and the chance to contribute to cutting-edge research in trustworthy AI.

This fully funded PhD position at KTH Royal Institute of Technology in Stockholm, Sweden, focuses on probabilistic machine learning, with a particular emphasis on the reliability and trustworthiness of large-scale machine learning models. The successful candidate will join Martin Trapp's new research group and work under the supervision of Assistant Professor Martin Trapp and Professor Henrik Boström. The research is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's largest research initiative in artificial intelligence and autonomous systems. The project involves developing theoretical and methodological advances to improve the reliability and credibility of machine learning models, contributing to open-source libraries, and publishing in top-tier machine learning venues such as NeurIPS, ICML, ICLR, UAI, and AISTATS. The position offers extensive opportunities for collaboration with researchers focused on trustworthy machine learning, both within academia and industry. WASP provides a unique platform for academic research and education in close partnership with leading Swedish technology-intensive industries. The program's vision is to foster excellence in AI, autonomous systems, and software, benefiting Swedish industry and society. The WASP graduate school supports the formation of a strong multidisciplinary and international professional network through research visits, partner universities, and guest lectures, making this an exceptional opportunity for students interested in world-class, industry-relevant research. Applicants must hold a master's degree or equivalent, or have completed at least 240 ECTS credits (with at least 60 at advanced level). Required skills include mathematics, programming, machine learning, statistics, linear algebra, and optimization. Research experience evidenced by peer-reviewed publications is expected, and proficiency in English (English B/6) is mandatory. Selection criteria include the ability to work independently, collaborate effectively, maintain professionalism, and analyze complex problems. Personal qualities are highly valued. The position is full-time for up to four years, with a monthly salary according to KTH's doctoral salary agreement. Employment is contingent upon admission to doctoral studies. The start date is February 1, 2026, or as agreed. The application must be submitted via KTH's recruitment system and include degree certificates, transcripts, proof of language proficiency, CV, research statement, and cover letter, all in English or Swedish. The deadline for applications is December 19, 2025. KTH is a leading international technical university committed to education, research, and innovation for a sustainable future. The university offers a creative and dynamic work environment with excellent conditions and benefits, and values equality, diversity, and fair treatment as integral to its mission. For further information, contact Assistant Professor Martin Trapp at [email protected].